





'''simple docstring'''






import math

import tensorflow as tf
from packaging import version



def        UpperCamelCase__		(						__magic_name__  :   Dict      )				->			List[Any]:
 '''simple docstring'''






 snake_case__     :					List[Any]    =  tf.convert_to_tensor(__magic_name__      )
 snake_case__     :					Tuple    =  0.5 * (1.0 + tf.math.erf(x / tf.cast(tf.sqrt(2.0      )		,       x.dtype      )      ))

 return x * cdf



def        UpperCamelCase__		(						__magic_name__  :   Any      )				->			Tuple:
 '''simple docstring'''






 snake_case__     :					Tuple    =  tf.convert_to_tensor(__magic_name__      )
 snake_case__     :					Any    =  tf.cast(math.pi		,       x.dtype      )
 snake_case__     :					Any    =  tf.cast(0.04_4715		,       x.dtype      )
 snake_case__     :					Dict    =  0.5 * (1.0 + tf.tanh(tf.sqrt(2.0 / pi      ) * (x + coeff * tf.pow(__magic_name__		,       3      ))      ))

 return x * cdf



def        UpperCamelCase__		(						__magic_name__  :   Tuple      )				->			int:
 '''simple docstring'''






 snake_case__     :					Dict    =  tf.convert_to_tensor(__magic_name__      )

 return x * tf.tanh(tf.math.softplus(__magic_name__      )      )



def        UpperCamelCase__		(						__magic_name__  :   Union[str, Any]      )				->			int:
 '''simple docstring'''






 snake_case__     :					Optional[Any]    =  tf.convert_to_tensor(__magic_name__      )
 snake_case__     :					int    =  tf.cast(0.04_4715		,       x.dtype      )
 snake_case__     :					Optional[int]    =  tf.cast(0.79_7884_5608		,       x.dtype      )

 return 0.5 * x * (1.0 + tf.tanh(x * coeffa * (1.0 + coeffa * x * x)      ))



def        UpperCamelCase__		(						__magic_name__  :   int      )				->			Optional[Any]:
 '''simple docstring'''






 snake_case__     :					List[Any]    =  tf.convert_to_tensor(__magic_name__      )
 snake_case__     :					List[Any]    =  tf.cast(1.702		,       x.dtype      )
 return x * tf.math.sigmoid(coeff * x      )



def        UpperCamelCase__		(						__magic_name__  :   Tuple      )				->			List[Any]:
 '''simple docstring'''






 return tf.clip_by_value(_gelu(__magic_name__      )		,       -10		,       10      )



def        UpperCamelCase__		(						__magic_name__  :   Any		,       __magic_name__  :   str=-1      )				->			Tuple:
 '''simple docstring'''






 snake_case__  ,							snake_case__     :					List[str]    =  tf.split(__magic_name__		,       2		,       axis=__magic_name__      )
 return a * tf.math.sigmoid(__magic_name__      )


if version.parse(tf.version.VERSION) >= version.parse("2.4"):



    def        UpperCamelCase__		(						__magic_name__  :   Optional[Any]      )				->			Union[str, Any]:
     '''simple docstring'''






     return tf.keras.activations.gelu(__magic_name__		,       approximate=__magic_name__      )

    A_		:  Optional[Any]		 =						tf.keras.activations.gelu





    A_		:  List[str]		 =						approximate_gelu_wrap
else:
    A_		:  Any		 =						_gelu
    A_		:  Optional[int]		 =						_gelu_new


A_		:  int		 =						{
    "gelu": gelu,
    "gelu_10": gelu_aa,
    "gelu_fast": gelu_fast,
    "gelu_new": gelu_new,
    "glu": glu,
    "mish": mish,
    "quick_gelu": quick_gelu,
    "relu": tf.keras.activations.relu,
    "sigmoid": tf.keras.activations.sigmoid,
    "silu": tf.keras.activations.swish,
    "swish": tf.keras.activations.swish,
    "tanh": tf.keras.activations.tanh,
}





def        UpperCamelCase__		(						__magic_name__  :   Tuple      )				->			List[Any]:
 '''simple docstring'''






 if activation_string in ACTaFN:
  return ACTaFN[activation_string]
 else:
  raise KeyError(f"function {activation_string} not found in ACT2FN mapping {list(ACTaFN.keys()      )}"      )






"""simple docstring"""






from __future__ import annotations



class 			lowercase					:






			def __init__(self  :	List[Any]      ,SCREAMING_SNAKE_CASE_  :	int = 0			)       ->	List[Any]:





				"""simple docstring"""


				lowerCAmelCase												=  key






			def 					UpperCAmelCase							(self  :	Tuple      ,SCREAMING_SNAKE_CASE_  :	str      ,SCREAMING_SNAKE_CASE_  :	int			)       ->	list[str]:





				"""simple docstring"""


				assert isinstance(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_			) and isinstance(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_			)

				lowerCAmelCase												=  key or self.__key or 1

				# make sure key is an appropriate size
				key %= 255

				return [chr(ord(SCREAMING_SNAKE_CASE_			) ^ key			) for ch in content]






			def 					UpperCAmelCase							(self  :	int      ,SCREAMING_SNAKE_CASE_  :	str      ,SCREAMING_SNAKE_CASE_  :	int			)       ->	list[str]:





				"""simple docstring"""


				assert isinstance(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_			) and isinstance(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_			)

				lowerCAmelCase												=  key or self.__key or 1

				# make sure key is an appropriate size
				key %= 255

				return [chr(ord(SCREAMING_SNAKE_CASE_			) ^ key			) for ch in content]






			def 					UpperCAmelCase							(self  :	Union[str, Any]      ,SCREAMING_SNAKE_CASE_  :	str      ,SCREAMING_SNAKE_CASE_  :	int = 0			)       ->	str:





				"""simple docstring"""


				assert isinstance(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_			) and isinstance(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_			)

				lowerCAmelCase												=  key or self.__key or 1

				# make sure key can be any size
				while key > 255:
					key -= 255

				# This will be returned
				lowerCAmelCase												=  ''''''

				for ch in content:
					ans += chr(ord(SCREAMING_SNAKE_CASE_			) ^ key			)

				return ans






			def 					UpperCAmelCase							(self  :	Union[str, Any]      ,SCREAMING_SNAKE_CASE_  :	str      ,SCREAMING_SNAKE_CASE_  :	int = 0			)       ->	str:





				"""simple docstring"""


				assert isinstance(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_			) and isinstance(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_			)

				lowerCAmelCase												=  key or self.__key or 1

				# make sure key can be any size
				while key > 255:
					key -= 255

				# This will be returned
				lowerCAmelCase												=  ''''''

				for ch in content:
					ans += chr(ord(SCREAMING_SNAKE_CASE_			) ^ key			)

				return ans






			def 					UpperCAmelCase							(self  :	List[str]      ,SCREAMING_SNAKE_CASE_  :	str      ,SCREAMING_SNAKE_CASE_  :	int = 0			)       ->	bool:





				"""simple docstring"""


				assert isinstance(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_			) and isinstance(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_			)

				try:
					with open(SCREAMING_SNAKE_CASE_			) as fin, open('''encrypt.out'''      ,'''w+'''			) as fout:
						# actual encrypt-process
						for line in fin:
							fout.write(self.encrypt_string(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_			)			)

				except OSError:
					return False

				return True






			def 					UpperCAmelCase							(self  :	List[Any]      ,SCREAMING_SNAKE_CASE_  :	str      ,SCREAMING_SNAKE_CASE_  :	int			)       ->	bool:





				"""simple docstring"""


				assert isinstance(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_			) and isinstance(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_			)

				try:
					with open(SCREAMING_SNAKE_CASE_			) as fin, open('''decrypt.out'''      ,'''w+'''			) as fout:
						# actual encrypt-process
						for line in fin:
							fout.write(self.decrypt_string(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_			)			)

				except OSError:
					return False

				return True


# Tests
# crypt = XORCipher()
# key = 67

# # test encrypt
# print(crypt.encrypt("hallo welt",key))
# # test decrypt
# print(crypt.decrypt(crypt.encrypt("hallo welt",key), key))

# # test encrypt_string
# print(crypt.encrypt_string("hallo welt",key))

# # test decrypt_string
# print(crypt.decrypt_string(crypt.encrypt_string("hallo welt",key),key))

# if (crypt.encrypt_file("test.txt",key)):
#       print("encrypt successful")
# else:
#       print("encrypt unsuccessful")

# if (crypt.decrypt_file("encrypt.out",key)):
#       print("decrypt successful")
# else:
#       print("decrypt unsuccessful")


